class_docstr: Run data (metrics and parameters).
class_docstr_tok: ["Run","data","(","metrics","and","parameters",")","."]
docstr: Dictionary of string key -> metric value for the current run.
  For each metric key, the metric value with the latest timestamp is returned. In case there
  are multiple values with the same latest timestamp, the maximum of these values is returned.
docstr_tok: ["Dictionary","of","string","key","-",">","metric","value","for","the","current","run",".","For","each","metric","key",",","the","metric","value","with","the","latest","timestamp","is","returned",".","In","case","there","are","multiple","values","with","the","same","latest","timestamp",",","the","maximum","of","these","values","is","returned","."]
code: def metrics(self):
      """
      Dictionary of string key -> metric value for the current run.
      For each metric key, the metric value with the latest timestamp is returned. In case there
      are multiple values with the same latest timestamp, the maximum of these values is returned.
      """
      return self._metrics
  
file_path: mlflow/mlflow/entities/run_data.py
imports: from mlflow.entities._mlflow_object import _MLflowObject
  from mlflow.entities.metric import Metric
  from mlflow.entities.param import Param
  from mlflow.entities.run_tag import RunTag
  from mlflow.protos.service_pb2 import Param
  from mlflow.protos.service_pb2 import RunData
  from mlflow.protos.service_pb2 import RunTag
label_desc: Use image node_id 2 for calling the RunData obj's underlying member method code with example usage: obj.metrics() and returns: self